Scientific writing

Skill ranbot-ai/awesome-skills/skills/scientific-writing

This is the core skill for the deep research and writing tool—combining AI-driven deep research with well-formatted written outputs. Every document produced is backed by comprehensive literature seaFrom its SKILL.md

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npx -y skills add ranbot-ai/awesome-skills --skill scientific-writing

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SKILL.md

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Scientific Writing

Overview

This is the core skill for the deep research and writing tool—combining AI-driven deep research with well-formatted written outputs. Every document produced is backed by comprehensive literature search and verified citations through the research-lookup skill.

Scientific writing is a process for communicating research with precision and clarity. Write manuscripts using IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, and reporting guidelines (CONSORT/STROBE/PRISMA). Apply this skill for research papers and journal submissions.

Critical Principle: Always write in full paragraphs with flowing prose. Never submit bullet points in the final manuscript. Use a two-stage process: first create section outlines with key points using research-lookup, then convert those outlines into complete paragraphs.

When to Use This Skill

This skill should be used when:

Writing or revising any section of a scientific manuscript (abstract, introduction, methods, results, discussion)
Structuring a research paper using IMRAD or other standard formats
Formatting citations and references in specific styles (APA, AMA, Vancouver, Chicago, IEEE)
Creating, formatting, or improving figures, tables, and data visualizations
Applying study-specific reporting guidelines (CONSORT for trials, STROBE for observational studies, PRISMA for reviews)
Drafting abstracts that meet journal requirements (structured or unstructured)
Preparing manuscripts for submission to specific journals
Improving writing clarity, conciseness, and precision
Ensuring proper use of field-specific terminology and nomenclature
Addressing reviewer comments and revising manuscripts

Visual Enhancement with Scientific Schematics

⚠️ MANDATORY: Every scientific paper MUST include a graphical abstract plus 1-2 additional AI-generated figures using the scientific-schematics skill.

This is not optional. Scientific papers without visual elements are incomplete. Before finalizing any document:

ALWAYS generate a graphical abstract as the first visual element
Generate at minimum ONE additional schematic or diagram using scientific-schematics
Prefer 3-4 total figures for comprehensive papers (graphical abstract + methods flowchart + results visualization + conceptual diagram)

Graphical Abstract (REQUIRED)

Every scientific writeup MUST include a graphical abstract. This is a visual summary of your paper that:

Appears before or immediately after the text abstract
Captures the entire paper's key message in one image
Is suitable for journal table of contents display
Uses landscape orientation (typically 1200x600px)

Generate the graphical abstract FIRST:

python scripts/generate_schematic.py "Graphical abstract for [paper title]: [brief description showing workflow from input → methods → key findings → conclusions]" -o figures/graphical_abstract.png

Graphical Abstract Requirements:

Content: Visual summary showing workflow, key methods, main findings, and conclusions
Style: Clean, professional, suitable for journal TOC
Elements: Include 3-5 key steps/concepts with connecting arrows or flow
Text: Minimal labels, large readable fonts
Log: [HH:MM:SS] GENERATED: Graphical abstract for paper summary

Additional Figures (GENERATE EXTENSIVELY)

⚠️ CRITICAL: Use BOTH scientific-schematics AND generate-image EXTENSIVELY throughout all documents.

Every document should be richly illustrated. Generate figures liberally - when in doubt, add a visual.

MINIMUM Figure Requirements:

Document Type	Minimum	Recommended
Research Papers	5	6-8
Literature Reviews	4	5-7
Market Research	20	25-30
Presentations	1/slide	1-2/slide
Posters	6	8-10
Grants	4	5-7
Clinical Reports	3	4-6

Use scientific-schematics EXTENSIVELY for technical diagrams:

python scripts/generate_schematic.py "your diagram description" -o figures/output.png

Study design and methodology flowcharts (CONSORT, PRISMA, STROBE)
Conceptual framework diagrams
Experimental workflow illustrations
Data analysis pipeline diagrams
Biological pathway or mechanism diagrams
System architecture visualizations
Neural network architectures
Decision trees, algorithm flowcharts
Comparison matrices, timeline diagrams
Any technical concept that benefits from schematic visualization

Use generate-image EXTENSIVELY for visual content:

python scripts/generate_image.py "your image description" -o figures/output.png

Photorealistic illustrations of concepts
Medical/anatomical illustrations
Environmental/ecological scenes
Equipment and lab setup visualizations
Artistic visualizations, infographics
Cover images, header graphics
Product mockups, prototype visualizations
Any visual that enhances understanding or engagement

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